{"id":"W3091164837","doi":"","title":"Noise Characteristics of EarthScope Transportable Array Posthole Sensor Emplacements in Alaska and Canada","year":2016,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geology; Noise (video); Seismology; Remote sensing; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002774085,0.0001265476,0.0002431871,0.00005961392,0.00005188753,0.00001826268,0.00009422791,0.00004593853,0.00005985726],"category_scores_gemma":[0.00007615043,0.0000909394,0.00002887407,0.00008744901,0.00004156349,0.0001061776,0.000003408586,0.00006995285,0.00001273465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006260772,"about_ca_system_score_gemma":0.0001066726,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8960541,"about_ca_topic_score_gemma":0.9328523,"domain_scores_codex":[0.998831,0.00003075695,0.0003944855,0.0002242447,0.0002229033,0.000296563],"domain_scores_gemma":[0.999366,0.0001806129,0.0001678319,0.0001266453,0.00003334869,0.0001255504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002160795,0.00001000824,0.994914,0.00002218563,0.00001515158,0.00003887613,0.00005814147,0.0003906257,0.00140303,3.725789e-7,0.00005319548,0.003072818],"study_design_scores_gemma":[0.0002780295,0.00003126631,0.9967942,0.0001557569,0.00001833594,0.000003900988,0.0001564772,0.00006345232,0.0009107437,0.000009703177,0.001446481,0.0001316759],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965332,0.00008670635,0.000003540868,0.000336705,0.0001044262,0.00006538778,0.0002549812,0.000007751531,0.002607347],"genre_scores_gemma":[0.9989222,0.0001222735,0.0002779856,0.0001509152,0.00003536165,2.837026e-7,0.00004921406,0.000004148603,0.0004376197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03679821,"threshold_uncertainty_score":0.3708401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00808496394801979,"score_gpt":0.1881448063032848,"score_spread":0.180059842355265,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}